MacBook Pro (16-inch, 2024)
Geekbench AI Score
6017
Single Precision Score
36898
Half Precision Score
50116
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | aektann |
| Upload Date | November 02 2025 11:00 AM |
| Views | 19 |
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% |
2186
406.4 IPS |
|
|
Image Classification (HP)
|
100% |
17078
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
21088
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23046
373.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32187
521.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18440
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122593
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230977
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2720
215.7 IPS |
|
|
Object Detection (HP)
|
100% |
19224
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
24037
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5343
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
44591
529.8 IPS |
|
|
Face Detection (Q)
|
100% |
63237
751.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9044
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105770
814.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
180678
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
31771
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234435
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
323896
418.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7018
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49453
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77318
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5714
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
6656
114.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16175
278.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16224
280.4 IPS |
