MacBook Pro (16-inch, 2023)
Geekbench AI Score
11271
Single Precision Score
12296
Half Precision Score
10544
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | November 01 2024 09:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
5374
999.5 IPS |
|
|
Image Classification (HP)
|
100% |
5582
1.04 KIPS |
|
|
Image Classification (Q)
|
97% |
4647
867.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8234
133.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8116
131.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8031
130.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45034
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47569
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44246
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
4975
394.6 IPS |
|
|
Object Detection (HP)
|
100% |
5134
407.3 IPS |
|
|
Object Detection (Q)
|
91% |
4362
348.5 IPS |
|
|
Face Detection (SP)
|
100% |
18442
219.1 IPS |
|
|
Face Detection (HP)
|
100% |
20139
239.3 IPS |
|
|
Face Detection (Q)
|
100% |
13557
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25944
199.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26890
207.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22178
173.3 IPS |
|
|
Style Transfer (SP)
|
100% |
80337
103.3 IPS |
|
|
Style Transfer (HP)
|
100% |
85800
110.3 IPS |
|
|
Style Transfer (Q)
|
96% |
79983
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17716
654.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18365
678.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15124
558.5 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2097
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1634
28.2 IPS |
