MacBook Pro (16-inch, 2024)
Geekbench AI Score
6055
Single Precision Score
36876
Half Precision Score
50009
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 02:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2204
409.8 IPS |
|
|
Image Classification (HP)
|
100% |
17184
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
21709
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22467
364.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32179
521.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18158
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122599
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228859
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2743
217.6 IPS |
|
|
Object Detection (HP)
|
100% |
19666
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24073
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
44546
529.3 IPS |
|
|
Face Detection (Q)
|
100% |
63465
754.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9028
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108357
834.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
175939
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
31524
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233174
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
320232
413.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7243
267.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47936
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77844
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5796
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6672
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15977
275.2 IPS |
|
|
Machine Translation (Q)
|
98% |
15962
275.9 IPS |
