MacBook Pro (14-inch, 2023)
Geekbench ML Score
10840
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 12:33 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4506
843.2 IPS |
|
|
Image Classification (F16)
|
100% |
10938
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
12607
2.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2026
33.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2454
41.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2467
41.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
34184
41.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
92044
111.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
92849
112.4 IPS |
|
|
Object Detection (F32)
|
100% |
3182
237.6 IPS |
|
|
Object Detection (F16)
|
100% |
3922
292.8 IPS |
|
|
Object Detection (I8)
|
97% |
3176
237.1 IPS |
|
|
Face Detection (F32)
|
100% |
13510
160.6 IPS |
|
|
Face Detection (F16)
|
97% |
20438
243.0 IPS |
|
|
Face Detection (I8)
|
96% |
20419
242.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
22354
173.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
47059
364.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
47215
366.1 IPS |
|
|
Style Transfer (F32)
|
100% |
63614
83.7 IPS |
|
|
Style Transfer (F16)
|
100% |
142672
187.7 IPS |
|
|
Style Transfer (I8)
|
100% |
143146
188.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9313
332.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31797
1.14 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
32783
1.17 KIPS |
|
|
Text Classification (F32)
|
100% |
2130
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3634
5.22 KIPS |
|
|
Text Classification (I8)
|
96% |
3657
5.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
984
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1319
24.3 IPS |
|
|
Machine Translation (I8)
|
99% |
983
18.1 IPS |
