MacBook Pro (16-inch, 2024)
Geekbench AI Score
21210
Single Precision Score
24008
Half Precision Score
21472
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nithinmohantk |
| Upload Date | June 20 2025 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10296
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10440
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
8576
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19769
320.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20640
334.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21259
344.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
107933
125.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
109783
128.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102832
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
9100
721.8 IPS |
|
|
Object Detection (HP)
|
100% |
9917
786.6 IPS |
|
|
Object Detection (Q)
|
91% |
8347
667.0 IPS |
|
|
Face Detection (SP)
|
100% |
39013
463.6 IPS |
|
|
Face Detection (HP)
|
100% |
40589
482.3 IPS |
|
|
Face Detection (Q)
|
100% |
31693
376.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
43993
338.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47139
363.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
39562
309.2 IPS |
|
|
Style Transfer (SP)
|
100% |
221638
284.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237682
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
218679
282.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30199
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31446
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25704
949.1 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2679
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3512
60.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3511
60.7 IPS |
