MacBook Pro (16-inch, 2023)
Geekbench AI Score
4224
Single Precision Score
27162
Half Precision Score
30124
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | narrathebest |
| Upload Date | September 07 2025 02:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
14257
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
17275
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19919
322.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24978
404.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12688
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106007
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104192
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
99% |
15140
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16764
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
35940
427.0 IPS |
|
|
Face Detection (Q)
|
100% |
46690
554.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6374
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87886
677.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108374
846.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26169
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205422
264.1 IPS |
|
|
Style Transfer (Q)
|
96% |
190910
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43919
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50072
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4571
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4157
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4250
73.4 IPS |
