MacBook Pro (16-inch, 2023)
Geekbench AI Score
4129
Single Precision Score
27307
Half Precision Score
30631
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 28 2024 05:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
14035
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
16866
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19564
317.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24643
399.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12944
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
107422
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104147
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
99% |
15150
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16712
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
36249
430.7 IPS |
|
|
Face Detection (Q)
|
100% |
44916
533.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6241
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87445
673.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
108410
847.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24890
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203287
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190464
245.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41109
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49385
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3983
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4258
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4890
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5544
95.8 IPS |
