MacBook Pro (16-inch, 2024)
Geekbench AI Score
5996
Single Precision Score
37444
Half Precision Score
49887
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 01 2025 09:33 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
16905
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
22516
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22742
368.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32594
528.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19258
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123186
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232438
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
20169
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24420
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4891
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
44349
527.0 IPS |
|
|
Face Detection (Q)
|
100% |
63996
760.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9132
70.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
109708
845.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176288
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
37177
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232696
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295725
381.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7234
267.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45794
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76962
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6593
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6159
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16596
285.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16610
287.0 IPS |
