MacBook Pro (14-inch, 2023)
Geekbench ML Score
6311
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 08 2024 01:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4795
897.2 IPS |
|
|
Image Classification (F16)
|
100% |
4622
864.9 IPS |
|
|
Image Classification (I8)
|
99% |
4011
750.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2022
33.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2014
33.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1765
29.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
34340
41.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
36286
43.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
35773
43.3 IPS |
|
|
Object Detection (F32)
|
100% |
3153
235.4 IPS |
|
|
Object Detection (F16)
|
100% |
3241
242.0 IPS |
|
|
Object Detection (I8)
|
97% |
3079
229.9 IPS |
|
|
Face Detection (F32)
|
100% |
13638
162.2 IPS |
|
|
Face Detection (F16)
|
97% |
14187
168.7 IPS |
|
|
Face Detection (I8)
|
96% |
13508
160.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
22675
175.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
23453
181.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
21564
167.2 IPS |
|
|
Style Transfer (F32)
|
100% |
65158
85.7 IPS |
|
|
Style Transfer (F16)
|
100% |
70300
92.5 IPS |
|
|
Style Transfer (I8)
|
100% |
60375
79.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8776
313.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9387
335.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9933
354.7 IPS |
|
|
Text Classification (F32)
|
100% |
705
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
641
921.8 IPS |
|
|
Text Classification (I8)
|
96% |
642
923.3 IPS |
|
|
Machine Translation (F32)
|
100% |
833
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
835
15.4 IPS |
|
|
Machine Translation (I8)
|
99% |
824
15.2 IPS |
