MacBook Pro (16-inch, 2024)
Geekbench AI Score
5951
Single Precision Score
36845
Half Precision Score
49789
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 08 2025 06:48 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
17466
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
21325
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23028
373.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31888
516.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18054
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122677
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230436
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.6 IPS |
|
|
Object Detection (HP)
|
100% |
20231
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24849
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
5226
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
44283
526.2 IPS |
|
|
Face Detection (Q)
|
100% |
63653
756.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9025
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
108923
839.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175229
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
31023
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
227862
292.9 IPS |
|
|
Style Transfer (Q)
|
96% |
311318
401.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47426
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77728
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3228
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6560
113.0 IPS |
|
|
Machine Translation (HP)
|
100% |
15898
273.9 IPS |
|
|
Machine Translation (Q)
|
98% |
15946
275.6 IPS |
