MacBook Pro (14-inch, 2023)
Geekbench ML Score
6832
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 27 2024 08:48 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4807
899.5 IPS |
|
|
Image Classification (F16)
|
100% |
4960
928.2 IPS |
|
|
Image Classification (I8)
|
99% |
4336
811.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2115
35.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2100
35.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2057
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
41348
50.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
43800
53.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
42452
51.4 IPS |
|
|
Object Detection (F32)
|
100% |
3239
241.8 IPS |
|
|
Object Detection (F16)
|
100% |
3273
244.4 IPS |
|
|
Object Detection (I8)
|
97% |
3148
235.0 IPS |
|
|
Face Detection (F32)
|
100% |
14696
174.7 IPS |
|
|
Face Detection (F16)
|
98% |
15510
184.4 IPS |
|
|
Face Detection (I8)
|
97% |
15009
178.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
24367
189.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
25506
197.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
23828
184.8 IPS |
|
|
Style Transfer (F32)
|
100% |
74181
97.6 IPS |
|
|
Style Transfer (F16)
|
100% |
71935
94.6 IPS |
|
|
Style Transfer (I8)
|
100% |
72993
96.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9526
340.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12303
439.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10710
382.5 IPS |
|
|
Text Classification (F32)
|
100% |
633
909.5 IPS |
|
|
Text Classification (F16)
|
100% |
691
992.7 IPS |
|
|
Text Classification (I8)
|
96% |
539
775.2 IPS |
|
|
Machine Translation (F32)
|
100% |
950
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
955
17.6 IPS |
|
|
Machine Translation (I8)
|
99% |
849
15.6 IPS |
