MacBook Pro (16-inch, 2024)
Geekbench AI Score
5826
Single Precision Score
9345
Half Precision Score
7172
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | darrotta |
| Upload Date | July 30 2025 05:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2178
405.1 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.6 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3448
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3915
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17939
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34538
40.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26512
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3904
310.8 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4993
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
8537
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4760
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8773
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15065
116.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10006
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30569
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
57662
74.1 IPS |
|
|
Style Transfer (Q)
|
96% |
42748
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7143
263.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9599
354.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5793
213.9 IPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5426
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5341
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6041
104.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9307
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9196
158.9 IPS |
