MacBook Pro (16-inch, 2023)
Geekbench AI Score
10622
Single Precision Score
11517
Half Precision Score
8827
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 11:02 AM |
| Views | 13 |
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 (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5221
970.9 IPS |
|
|
Image Classification (HP)
|
100% |
5509
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
4799
895.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8209
133.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8165
132.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
8080
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45049
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47537
55.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
42534
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
4918
390.1 IPS |
|
|
Object Detection (HP)
|
100% |
5133
407.2 IPS |
|
|
Object Detection (Q)
|
91% |
4156
332.1 IPS |
|
|
Face Detection (SP)
|
100% |
18085
214.9 IPS |
|
|
Face Detection (HP)
|
100% |
19560
232.4 IPS |
|
|
Face Detection (Q)
|
100% |
12971
154.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26003
200.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27588
212.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
4310
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79628
102.4 IPS |
|
|
Style Transfer (HP)
|
100% |
85350
109.7 IPS |
|
|
Style Transfer (Q)
|
100% |
85082
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17407
642.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18343
677.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13511
500.6 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1719
29.7 IPS |
