MacBook Pro (16-inch, 2023)
Geekbench AI Score
10493
Single Precision Score
12230
Half Precision Score
10613
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5242
974.8 IPS |
|
|
Image Classification (HP)
|
100% |
5489
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4766
889.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8106
131.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8072
130.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8104
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45075
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47603
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44121
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
4856
385.2 IPS |
|
|
Object Detection (HP)
|
100% |
5172
410.2 IPS |
|
|
Object Detection (Q)
|
91% |
4308
344.3 IPS |
|
|
Face Detection (SP)
|
100% |
18078
214.8 IPS |
|
|
Face Detection (HP)
|
100% |
19499
231.7 IPS |
|
|
Face Detection (Q)
|
100% |
13941
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25744
198.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26862
207.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
22172
173.3 IPS |
|
|
Style Transfer (SP)
|
100% |
80269
103.2 IPS |
|
|
Style Transfer (HP)
|
100% |
85448
109.8 IPS |
|
|
Style Transfer (Q)
|
96% |
79948
103.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17564
648.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18285
675.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15011
554.3 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2100
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1663
28.7 IPS |
