MacBook Pro (16-inch, 2023)
Geekbench AI Score
4211
Single Precision Score
27224
Half Precision Score
30429
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | December 29 2024 01:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
15262
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
18508
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19799
321.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24551
398.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13001
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
108258
126.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104453
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (HP)
|
99% |
15692
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17409
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
33871
402.5 IPS |
|
|
Face Detection (Q)
|
100% |
45407
539.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6333
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88151
679.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111799
873.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24951
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206912
266.0 IPS |
|
|
Style Transfer (Q)
|
96% |
198030
255.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42839
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50019
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4622
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4061
70.2 IPS |
