MacBook Pro (16-inch, 2023)
Geekbench AI Score
11191
Single Precision Score
11596
Half Precision Score
10770
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 25 2025 04:35 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5395
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5456
1.01 KIPS |
|
|
Image Classification (Q)
|
97% |
4707
878.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8073
130.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8057
130.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7909
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44806
52.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
47444
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44099
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
4976
394.7 IPS |
|
|
Object Detection (HP)
|
100% |
5030
399.0 IPS |
|
|
Object Detection (Q)
|
91% |
4273
341.5 IPS |
|
|
Face Detection (SP)
|
100% |
18195
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
19286
229.2 IPS |
|
|
Face Detection (Q)
|
100% |
13889
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25558
196.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26676
205.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
22406
175.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80185
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85516
109.9 IPS |
|
|
Style Transfer (Q)
|
96% |
80118
103.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17412
642.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18339
677.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14690
542.4 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2064
35.7 IPS |
