MacBook Pro (14-inch, 2023)
Geekbench AI Score
10169
Single Precision Score
11015
Half Precision Score
9620
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | visualvictor |
| Upload Date | March 25 2025 01:37 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5257
977.6 IPS |
|
|
Image Classification (HP)
|
100% |
5140
955.8 IPS |
|
|
Image Classification (Q)
|
97% |
4283
799.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7242
117.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7410
120.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7408
120.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37021
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
39254
45.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
36455
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
4773
378.6 IPS |
|
|
Object Detection (HP)
|
100% |
4890
387.9 IPS |
|
|
Object Detection (Q)
|
91% |
4111
328.5 IPS |
|
|
Face Detection (SP)
|
100% |
16903
200.8 IPS |
|
|
Face Detection (HP)
|
100% |
17531
208.3 IPS |
|
|
Face Detection (Q)
|
100% |
12116
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24447
188.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24766
190.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20452
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68595
88.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74876
96.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69886
90.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13200
487.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13958
515.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11091
409.5 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1876
32.4 IPS |
