MacBook Pro (16-inch, 2023)
Geekbench AI Score
4119
Single Precision Score
6600
Half Precision Score
5316
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 09 2025 03:00 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2258
420.0 IPS |
|
|
Image Classification (Q)
|
96% |
1691
315.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2948
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12948
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25589
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19211
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.4 IPS |
|
|
Object Detection (HP)
|
97% |
2635
209.8 IPS |
|
|
Object Detection (Q)
|
94% |
1990
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
5721
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3459
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6032
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11204
86.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7852
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25119
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36356
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29453
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6397
236.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4522
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4131
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6755
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6331
109.4 IPS |
