MacBook Pro (16-inch, 2023)
Geekbench AI Score
4175
Single Precision Score
6775
Half Precision Score
5284
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 30 2024 07:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2953
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12957
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25831
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19078
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
97% |
2707
215.5 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
5891
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3373
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6258
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12231
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8346
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24983
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38509
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29679
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7069
261.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4438
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6314
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6185
106.9 IPS |
