MacBook Pro (16-inch, 2023)
Geekbench AI Score
4114
Single Precision Score
26867
Half Precision Score
30212
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | May 05 2025 01:50 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
14035
2.61 KIPS |
|
|
Image Classification (Q)
|
96% |
17142
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19780
320.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24773
401.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12665
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106052
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104214
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.5 IPS |
|
|
Object Detection (HP)
|
99% |
15121
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17152
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
35502
421.8 IPS |
|
|
Face Detection (Q)
|
100% |
45611
542.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6117
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88048
678.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109309
854.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25067
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201950
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
189626
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41988
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49498
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4039
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4417
76.3 IPS |
