MacBook Pro (16-inch, 2024) M4 Max 16 NC MacBook Pro (16-inch, 2024)
Geekbench AI Score
5939
Single Precision Score
36861
Half Precision Score
49764
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | October 13 2025 10:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (HP)
|
100% |
17149
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
21524
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23005
372.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31240
506.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17808
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122923
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230527
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
19159
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23265
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
5223
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
44146
524.5 IPS |
|
|
Face Detection (Q)
|
100% |
62946
747.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8958
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
108721
837.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178866
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
30738
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232967
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
320821
414.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49103
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78229
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5654
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6496
111.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16057
276.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16215
280.2 IPS |
