MacBook Pro (14-inch, 2023)
Geekbench AI Score
2161
Single Precision Score
15873
Half Precision Score
9073
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | aapivone |
| Upload Date | January 04 2025 12:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B74) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1112
206.8 IPS |
|
|
Image Classification (HP)
|
100% |
7691
1.43 KIPS |
|
|
Image Classification (Q)
|
94% |
8533
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5143
83.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8717
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11288
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
92869
108.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
87041
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (HP)
|
99% |
9279
738.1 IPS |
|
|
Object Detection (Q)
|
93% |
10048
801.7 IPS |
|
|
Face Detection (SP)
|
100% |
2065
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
14657
174.2 IPS |
|
|
Face Detection (Q)
|
100% |
611
7.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
3798
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55942
431.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
64703
505.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13856
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
145646
187.2 IPS |
|
|
Style Transfer (Q)
|
25% |
5419
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2443
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21284
785.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23333
861.6 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.7 IPS |
|
|
Text Classification (HP)
|
100% |
5111
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5094
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2284
39.5 IPS |
