MacBook Pro (14-inch, 2023)
Geekbench AI Score
10152
Single Precision Score
10958
Half Precision Score
9555
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JJR_BIKES |
| Upload Date | April 05 2025 01:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5175
962.4 IPS |
|
|
Image Classification (HP)
|
100% |
5378
1.00 KIPS |
|
|
Image Classification (Q)
|
97% |
4486
837.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7457
120.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7456
120.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7419
120.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37166
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39372
45.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
36588
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
4831
383.2 IPS |
|
|
Object Detection (HP)
|
100% |
4919
390.2 IPS |
|
|
Object Detection (Q)
|
91% |
4159
332.4 IPS |
|
|
Face Detection (SP)
|
100% |
16667
198.0 IPS |
|
|
Face Detection (HP)
|
100% |
17438
207.2 IPS |
|
|
Face Detection (Q)
|
100% |
12345
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
23855
183.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24948
192.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20399
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
68484
88.0 IPS |
|
|
Style Transfer (HP)
|
100% |
74899
96.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69564
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13452
496.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14222
525.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11225
414.5 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3966
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1607
27.8 IPS |
