MacBook Pro (16-inch, 2024)
Geekbench AI Score
6011
Single Precision Score
36713
Half Precision Score
49603
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | studdmnky |
| Upload Date | November 18 2025 05:46 AM |
| Views | 14 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
17073
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
21378
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23216
376.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31372
508.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18437
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122378
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231400
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
19123
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23406
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
5358
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
44255
525.8 IPS |
|
|
Face Detection (Q)
|
100% |
62797
746.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9068
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
108469
835.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
177999
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
31641
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232703
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319804
412.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7068
261.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47798
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77064
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6647
114.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15979
275.2 IPS |
|
|
Machine Translation (Q)
|
98% |
15996
276.4 IPS |
