MacBook Pro (16-inch, 2024)
Geekbench AI Score
5593
Single Precision Score
36086
Half Precision Score
48918
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 15 2025 08:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2126
395.3 IPS |
|
|
Image Classification (HP)
|
100% |
17154
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
21484
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22650
367.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31287
507.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18079
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122457
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
228433
267.7 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
17951
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
23651
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4933
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
44088
523.9 IPS |
|
|
Face Detection (Q)
|
100% |
65236
775.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8850
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104423
804.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160204
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
26661
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232750
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296731
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6111
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45419
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77032
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5523
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6065
104.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16314
281.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16778
290.0 IPS |
