MacBook Pro (16-inch, 2024)
Geekbench AI Score
6049
Single Precision Score
36820
Half Precision Score
49506
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NightSmile96 |
| Upload Date | October 03 2025 04:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2217
412.3 IPS |
|
|
Image Classification (HP)
|
100% |
17256
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21289
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23064
373.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31460
510.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18404
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122505
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229906
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.6 IPS |
|
|
Object Detection (HP)
|
100% |
19157
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23310
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
5316
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
44132
524.4 IPS |
|
|
Face Detection (Q)
|
100% |
62869
747.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109198
841.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177059
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
31571
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
231460
297.5 IPS |
|
|
Style Transfer (Q)
|
96% |
319679
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48179
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78050
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6674
115.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16224
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16113
278.5 IPS |
