MacBook Pro (16-inch, 2024)
Geekbench AI Score
6012
Single Precision Score
36470
Half Precision Score
49450
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Platinkaiser |
| Upload Date | February 07 2026 04:33 PM |
| Views | 5 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (HP)
|
100% |
16759
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
20661
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23027
373.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32071
519.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18557
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122328
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230008
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
19082
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23429
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
5354
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
43998
522.8 IPS |
|
|
Face Detection (Q)
|
100% |
62894
747.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103585
798.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
174629
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31708
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231722
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
319675
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7035
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47700
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76893
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5788
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5734
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6698
115.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15849
273.0 IPS |
|
|
Machine Translation (Q)
|
98% |
15819
273.4 IPS |
