MacBook Pro (16-inch, 2023)
Geekbench AI Score
4170
Single Precision Score
27694
Half Precision Score
30802
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | tangovictor |
| Upload Date | November 18 2024 10:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
14791
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
17466
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19759
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24243
393.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12923
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106275
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104143
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1689
133.9 IPS |
|
|
Object Detection (HP)
|
99% |
15382
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17044
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
35692
424.1 IPS |
|
|
Face Detection (Q)
|
100% |
43778
520.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6379
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87607
675.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108973
851.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24759
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204783
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190531
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5117
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41800
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49266
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3931
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4584
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5190
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5812
100.4 IPS |
