MacBook Pro (16-inch, 2024)
Geekbench AI Score
5953
Single Precision Score
36618
Half Precision Score
48400
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | loismustdie1 |
| Upload Date | January 28 2025 05:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
17513
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
22471
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22611
366.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31160
505.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19235
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122847
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229759
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2551
202.4 IPS |
|
|
Object Detection (HP)
|
100% |
19542
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23720
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4744
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
42176
501.1 IPS |
|
|
Face Detection (Q)
|
100% |
57188
679.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8915
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
108849
838.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178578
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
36813
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230897
296.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295576
381.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7251
267.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45792
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77871
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4752
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6131
105.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16477
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16553
286.0 IPS |
