MacBook Pro (14-inch, 2023)
Geekbench AI Score
4176
Single Precision Score
26851
Half Precision Score
30060
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | visualvictor |
| Upload Date | March 25 2025 01:34 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
13845
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
16852
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19560
317.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24655
399.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12846
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106492
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104201
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
99% |
15091
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16827
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
35028
416.2 IPS |
|
|
Face Detection (Q)
|
100% |
45091
535.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6486
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87892
677.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109711
857.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24924
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204022
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191420
247.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43092
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49206
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4141
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4418
76.4 IPS |
