MacBook Pro (14-inch, 2023)
Geekbench AI Score
10818
Single Precision Score
11822
Half Precision Score
10216
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | April 28 2025 07:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
5071
943.0 IPS |
|
|
Image Classification (HP)
|
100% |
5096
947.7 IPS |
|
|
Image Classification (Q)
|
96% |
4843
904.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8110
131.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8145
132.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7913
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
36966
43.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
39246
45.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
37829
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
4809
381.5 IPS |
|
|
Object Detection (HP)
|
100% |
4881
387.1 IPS |
|
|
Object Detection (Q)
|
92% |
4464
356.4 IPS |
|
|
Face Detection (SP)
|
100% |
16827
199.9 IPS |
|
|
Face Detection (HP)
|
100% |
17448
207.3 IPS |
|
|
Face Detection (Q)
|
100% |
14382
170.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23874
183.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24993
192.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
22683
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
68647
88.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74159
95.3 IPS |
|
|
Style Transfer (Q)
|
96% |
72914
94.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13186
486.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13830
510.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12028
444.1 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3637
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1628
28.1 IPS |
