MacBook Pro (14-inch, 2023)
Geekbench AI Score
4175
Single Precision Score
27314
Half Precision Score
30585
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JJR_BIKES |
| Upload Date | April 06 2025 10:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
15160
2.82 KIPS |
|
|
Image Classification (Q)
|
96% |
17753
3.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1721
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19663
318.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24837
402.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12663
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106467
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104161
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
99% |
15632
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17290
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
36035
428.2 IPS |
|
|
Face Detection (Q)
|
100% |
46277
549.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6416
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88896
684.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
111383
870.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25130
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203715
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
191409
247.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5147
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42119
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49226
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4498
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4611
79.7 IPS |
