MacBook Pro (16-inch, 2023)
Geekbench AI Score
10535
Single Precision Score
11466
Half Precision Score
10446
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 22 2025 01:46 PM |
| Views | 6 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5316
988.6 IPS |
|
|
Image Classification (HP)
|
100% |
5470
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4589
856.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8233
133.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8070
130.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7922
128.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
44891
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
47479
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44049
51.6 IPS |
|
|
Object Detection (SP)
|
100% |
4922
390.4 IPS |
|
|
Object Detection (HP)
|
100% |
5012
397.6 IPS |
|
|
Object Detection (Q)
|
91% |
4257
340.1 IPS |
|
|
Face Detection (SP)
|
100% |
18101
215.1 IPS |
|
|
Face Detection (HP)
|
100% |
19359
230.0 IPS |
|
|
Face Detection (Q)
|
100% |
13937
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26089
201.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26595
204.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
22552
176.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79903
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85482
109.9 IPS |
|
|
Style Transfer (Q)
|
96% |
79790
103.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17421
643.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18196
671.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14929
551.2 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1543
26.7 IPS |
