MacBook Pro (16-inch, 2023)
Geekbench AI Score
11136
Single Precision Score
12205
Half Precision Score
10580
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 28 2024 05:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5261
978.4 IPS |
|
|
Image Classification (HP)
|
100% |
5502
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4695
876.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8017
130.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8058
130.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8007
129.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45048
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47524
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44166
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
4774
378.7 IPS |
|
|
Object Detection (HP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (Q)
|
91% |
4345
347.2 IPS |
|
|
Face Detection (SP)
|
100% |
18119
215.3 IPS |
|
|
Face Detection (HP)
|
100% |
20294
241.1 IPS |
|
|
Face Detection (Q)
|
100% |
13899
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25799
198.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26615
205.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22116
172.8 IPS |
|
|
Style Transfer (SP)
|
100% |
80120
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
85436
109.8 IPS |
|
|
Style Transfer (Q)
|
96% |
79861
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17456
644.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18305
675.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15295
564.8 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3982
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1620
28.0 IPS |
