MacBook Pro (16-inch, 2024)
Geekbench AI Score
5916
Single Precision Score
36294
Half Precision Score
48878
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | 3Dman |
| Upload Date | February 26 2025 08:58 PM |
| Views | 5 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
17956
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23627
4.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2514
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23332
378.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32523
527.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19153
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122954
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232244
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (HP)
|
100% |
19749
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24927
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
44114
524.2 IPS |
|
|
Face Detection (Q)
|
100% |
57182
679.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8982
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110906
854.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174424
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
36811
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231435
297.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299856
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7213
266.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46289
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78432
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4481
5.98 KIPS |
|
|
Text Classification (Q)
|
93% |
4592
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5862
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16602
286.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16245
280.7 IPS |
