MacBook Pro (14-inch, 2023)
Geekbench AI Score
8860
Single Precision Score
9713
Half Precision Score
8563
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zpjet |
| Upload Date | December 26 2024 07:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4939
918.5 IPS |
|
|
Image Classification (HP)
|
100% |
5098
948.1 IPS |
|
|
Image Classification (Q)
|
97% |
4372
815.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7150
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7117
115.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7115
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
36487
42.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
39362
45.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
36528
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
3864
306.5 IPS |
|
|
Object Detection (HP)
|
100% |
4385
347.8 IPS |
|
|
Object Detection (Q)
|
91% |
4056
324.1 IPS |
|
|
Face Detection (SP)
|
100% |
15530
184.5 IPS |
|
|
Face Detection (HP)
|
100% |
15895
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
11023
131.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23764
183.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25020
192.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20482
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68398
87.9 IPS |
|
|
Style Transfer (HP)
|
100% |
74432
95.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69413
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13116
484.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13809
509.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10998
406.1 IPS |
|
|
Text Classification (SP)
|
100% |
1803
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2895
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
922
15.9 IPS |
