Stein`s MacBook Pro MAX M4 (16-inch, 2024) MacBook Pro (16-inch, 2024)
Geekbench AI Score
6012
Single Precision Score
36204
Half Precision Score
49441
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Zztony |
| Upload Date | December 05 2025 05:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2184
406.2 IPS |
|
|
Image Classification (HP)
|
100% |
16612
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
21202
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22442
363.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32081
520.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18389
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122383
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229623
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2710
214.9 IPS |
|
|
Object Detection (HP)
|
100% |
18956
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
22876
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
43975
522.5 IPS |
|
|
Face Detection (Q)
|
100% |
63008
748.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9013
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103346
796.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175749
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31582
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
231878
298.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319821
412.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7151
264.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47468
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77419
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6654
114.6 IPS |
|
|
Machine Translation (HP)
|
100% |
15931
274.4 IPS |
|
|
Machine Translation (Q)
|
98% |
15890
274.6 IPS |
