MacBook Pro (14-inch, 2023)
Geekbench AI Score
10462
Single Precision Score
11445
Half Precision Score
8824
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Bishop_Swift |
| Upload Date | August 16 2024 09:12 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5176
962.5 IPS |
|
|
Image Classification (HP)
|
100% |
5364
997.6 IPS |
|
|
Image Classification (Q)
|
99% |
4719
880.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8029
130.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8191
132.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
8024
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45029
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47665
55.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
42457
49.7 IPS |
|
|
Object Detection (SP)
|
100% |
4771
378.4 IPS |
|
|
Object Detection (HP)
|
100% |
4909
389.4 IPS |
|
|
Object Detection (Q)
|
91% |
4146
331.3 IPS |
|
|
Face Detection (SP)
|
100% |
18151
215.7 IPS |
|
|
Face Detection (HP)
|
100% |
19438
231.0 IPS |
|
|
Face Detection (Q)
|
100% |
13463
160.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26192
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26615
205.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
4308
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79871
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85423
109.8 IPS |
|
|
Style Transfer (Q)
|
100% |
84935
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17150
633.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18701
690.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13493
499.9 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1685
29.1 IPS |
