MacBook Pro (16-inch, 2023)
Geekbench AI Score
4193
Single Precision Score
26878
Half Precision Score
30115
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 04:48 PM |
| Views | 1 |
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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1416
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
14620
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
17241
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19401
314.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24681
400.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12797
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
107343
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104390
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
99% |
15097
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16936
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3719
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
35395
420.6 IPS |
|
|
Face Detection (Q)
|
100% |
45190
537.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6513
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87497
674.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
110756
865.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24419
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203164
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
192140
247.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5171
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42001
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49430
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4017
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4299
74.3 IPS |
