MacBook Pro (16-inch, 2024)
Geekbench AI Score
5626
Single Precision Score
38427
Half Precision Score
52733
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | August 12 2025 06:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2119
394.1 IPS |
|
|
Image Classification (HP)
|
100% |
18201
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
24039
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23685
383.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33973
550.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18060
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122905
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230964
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (HP)
|
100% |
21068
1.67 KIPS |
|
|
Object Detection (Q)
|
91% |
25373
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4941
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
43868
521.2 IPS |
|
|
Face Detection (Q)
|
100% |
69707
828.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111449
858.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
183826
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
26908
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234692
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298669
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46919
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81462
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6675
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6435
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6301
108.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17504
301.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17319
299.3 IPS |
