MacBook Pro (16-inch, 2023)
Geekbench AI Score
11209
Single Precision Score
12272
Half Precision Score
10661
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MacHammerFan |
| Upload Date | December 04 2024 09:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
5363
997.3 IPS |
|
|
Image Classification (HP)
|
100% |
5537
1.03 KIPS |
|
|
Image Classification (Q)
|
97% |
4736
883.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7991
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8089
131.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8136
131.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45026
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47699
55.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
44195
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5078
402.8 IPS |
|
|
Object Detection (HP)
|
100% |
5206
412.9 IPS |
|
|
Object Detection (Q)
|
91% |
4354
347.9 IPS |
|
|
Face Detection (SP)
|
100% |
18082
214.9 IPS |
|
|
Face Detection (HP)
|
100% |
19404
230.6 IPS |
|
|
Face Detection (Q)
|
100% |
13965
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25847
199.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26892
207.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22630
176.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80011
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85903
110.4 IPS |
|
|
Style Transfer (Q)
|
96% |
79947
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17806
657.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18673
689.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15072
556.5 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1674
28.9 IPS |
