MacBook Pro (16-inch, 2024)
Geekbench AI Score
5597
Single Precision Score
37068
Half Precision Score
49177
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | attorney |
| Upload Date | May 01 2025 11:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.4 IPS |
|
|
Image Classification (HP)
|
100% |
17720
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22055
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22712
368.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31323
507.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18181
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123160
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
228881
268.3 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
20870
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
23932
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4919
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
43944
522.1 IPS |
|
|
Face Detection (Q)
|
100% |
64505
766.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8876
68.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
108700
837.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171775
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25966
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
231362
297.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297439
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46230
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76455
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5580
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5336
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6295
108.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16611
286.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16259
281.0 IPS |
