MacBook Pro (14-inch, 2023)
Geekbench AI Score
10113
Single Precision Score
10993
Half Precision Score
9712
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 30 2025 10:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5148
957.3 IPS |
|
|
Image Classification (HP)
|
100% |
5166
960.7 IPS |
|
|
Image Classification (Q)
|
97% |
4387
818.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7256
117.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7223
117.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7417
120.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37000
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
39370
45.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
36486
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
4800
380.7 IPS |
|
|
Object Detection (HP)
|
100% |
4928
390.9 IPS |
|
|
Object Detection (Q)
|
91% |
4071
325.3 IPS |
|
|
Face Detection (SP)
|
100% |
16555
196.7 IPS |
|
|
Face Detection (HP)
|
100% |
17407
206.8 IPS |
|
|
Face Detection (Q)
|
100% |
12499
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23760
183.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24895
191.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20581
160.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68620
88.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74609
95.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69984
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13247
489.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13954
515.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10987
405.7 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3981
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1963
33.9 IPS |
