MacBook Pro (16-inch, 2023)
Geekbench AI Score
4222
Single Precision Score
27922
Half Precision Score
31334
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 26 2024 12:04 AM |
| Views | 2 |
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% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
15020
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
17619
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19480
315.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24762
401.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13016
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106661
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104225
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
99% |
15460
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17185
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3648
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
36028
428.1 IPS |
|
|
Face Detection (Q)
|
100% |
46196
548.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6374
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88222
679.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110212
861.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24857
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205213
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193629
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5186
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42535
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51048
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4764
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5315
91.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5769
99.7 IPS |
