MacBook Pro (14-inch, 2023)
Geekbench AI Score
10776
Single Precision Score
11859
Half Precision Score
10273
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hovely |
| Upload Date | June 17 2025 04:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5070
942.8 IPS |
|
|
Image Classification (HP)
|
100% |
5111
950.5 IPS |
|
|
Image Classification (Q)
|
96% |
4813
898.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8220
133.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8140
132.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7816
126.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37006
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40483
47.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
39081
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4815
381.9 IPS |
|
|
Object Detection (HP)
|
100% |
4891
387.9 IPS |
|
|
Object Detection (Q)
|
92% |
4504
359.5 IPS |
|
|
Face Detection (SP)
|
100% |
16788
199.5 IPS |
|
|
Face Detection (HP)
|
100% |
17583
208.9 IPS |
|
|
Face Detection (Q)
|
100% |
14931
177.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23832
183.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25098
193.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
23010
179.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68692
88.3 IPS |
|
|
Style Transfer (HP)
|
100% |
75517
97.1 IPS |
|
|
Style Transfer (Q)
|
96% |
73891
95.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13129
484.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14153
522.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12385
457.3 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4102
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4081
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1542
26.6 IPS |
