MacBook Pro (14-inch, 2023)
Geekbench AI Score
4136
Single Precision Score
6675
Half Precision Score
5305
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hovely |
| Upload Date | June 17 2025 04:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.8 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2856
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12690
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25617
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19320
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
97% |
2661
211.9 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3579
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5845
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3406
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6165
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11488
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8028
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24903
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38452
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29781
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5062
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6581
243.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4560
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4118
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6399
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6347
109.7 IPS |
