MacBook Pro (16-inch, 2023)
Geekbench AI Score
4188
Single Precision Score
27015
Half Precision Score
29960
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 22 2025 01:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
14389
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
16973
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19471
315.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24702
400.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13075
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
106476
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104233
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
99% |
15448
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17034
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
35175
418.0 IPS |
|
|
Face Detection (Q)
|
100% |
44985
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6373
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87768
676.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108932
851.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25002
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205288
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
190906
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5138
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42340
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52015
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4078
70.5 IPS |
