MacBook Pro (16-inch, 2024)
Geekbench AI Score
5937
Single Precision Score
36610
Half Precision Score
49551
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | hadleydb |
| Upload Date | December 31 2025 03:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
16983
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
21510
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22980
372.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31150
505.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17979
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122430
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231321
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
19228
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
24254
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
5243
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
44392
527.5 IPS |
|
|
Face Detection (Q)
|
100% |
62738
745.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8967
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
108288
834.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
174793
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30985
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232774
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
318983
411.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7138
263.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47292
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77928
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5484
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6393
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15878
273.5 IPS |
|
|
Machine Translation (Q)
|
98% |
15880
274.4 IPS |
