MacBook Pro (16-inch, 2023)
Geekbench AI Score
11078
Single Precision Score
11709
Half Precision Score
10833
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | January 28 2025 01:46 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
5439
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5636
1.05 KIPS |
|
|
Image Classification (Q)
|
97% |
4730
882.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8141
132.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8161
132.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8004
129.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
44865
52.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
47597
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44186
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5036
399.5 IPS |
|
|
Object Detection (HP)
|
100% |
5114
405.6 IPS |
|
|
Object Detection (Q)
|
91% |
4290
342.8 IPS |
|
|
Face Detection (SP)
|
100% |
18384
218.4 IPS |
|
|
Face Detection (HP)
|
100% |
19581
232.7 IPS |
|
|
Face Detection (Q)
|
100% |
14008
166.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25924
199.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26809
206.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
22518
176.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79912
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85961
110.5 IPS |
|
|
Style Transfer (Q)
|
96% |
80007
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17942
662.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18685
689.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15192
561.0 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4042
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2002
34.6 IPS |
