MacBook Pro (16-inch, 2023)
Geekbench AI Score
4223
Single Precision Score
27417
Half Precision Score
30698
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | December 17 2024 01:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
15690
2.92 KIPS |
|
|
Image Classification (Q)
|
96% |
18685
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19515
316.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24225
392.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12949
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106586
124.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104233
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
99% |
15696
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17489
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
35714
424.4 IPS |
|
|
Face Detection (Q)
|
100% |
46337
550.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6476
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88389
681.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111083
868.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24981
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205123
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191957
247.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43231
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51666
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4017
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4635
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4135
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4393
75.9 IPS |
