MacBook Pro (14-inch, 2023)
Geekbench AI Score
9490
Single Precision Score
10377
Half Precision Score
8009
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | August 17 2024 07:21 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4943
919.3 IPS |
|
|
Image Classification (HP)
|
100% |
5030
935.4 IPS |
|
|
Image Classification (Q)
|
99% |
4461
832.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7325
118.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7211
116.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7427
120.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37194
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39388
46.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
35421
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
4735
375.6 IPS |
|
|
Object Detection (HP)
|
100% |
4914
389.8 IPS |
|
|
Object Detection (Q)
|
91% |
3960
316.5 IPS |
|
|
Face Detection (SP)
|
100% |
16698
198.4 IPS |
|
|
Face Detection (HP)
|
100% |
17434
207.2 IPS |
|
|
Face Detection (Q)
|
100% |
12080
143.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23848
183.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24764
190.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
4054
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
68185
87.7 IPS |
|
|
Style Transfer (HP)
|
100% |
74643
96.0 IPS |
|
|
Style Transfer (Q)
|
100% |
74193
95.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13094
483.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13859
511.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10182
377.2 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3800
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1210
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1663
28.7 IPS |
