MacBook Pro (14-inch, 2023)
Geekbench AI Score
4105
Single Precision Score
27841
Half Precision Score
31014
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wizard223 |
| Upload Date | October 26 2025 03:41 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
15288
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
19276
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20426
331.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24986
405.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11926
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106253
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104981
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
99% |
16192
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17478
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3589
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
36745
436.6 IPS |
|
|
Face Detection (Q)
|
100% |
46763
555.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6147
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
89527
689.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110374
862.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25673
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204390
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190290
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44965
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52034
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4190
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4171
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4112
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4371
75.5 IPS |
