MacBook Pro (14-inch, 2023)
Geekbench AI Score
4133
Single Precision Score
6926
Half Precision Score
5530
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | October 09 2025 04:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1376
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
2273
422.7 IPS |
|
|
Image Classification (Q)
|
96% |
1688
315.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2883
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11852
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26753
31.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
20801
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
97% |
2763
220.0 IPS |
|
|
Object Detection (Q)
|
94% |
2030
161.8 IPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6115
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6114
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11868
91.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8179
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25934
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40305
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32285
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5036
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6557
242.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4605
170.1 IPS |
|
|
Text Classification (SP)
|
100% |
2540
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4346
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4310
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4422
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7099
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7121
123.1 IPS |
