MacBook Pro (16-inch, 2024)
Geekbench AI Score
5995
Single Precision Score
36479
Half Precision Score
49137
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kalimarel |
| Upload Date | November 18 2025 09:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
2188
406.8 IPS |
|
|
Image Classification (HP)
|
100% |
17519
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
21015
3.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23074
374.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32110
520.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18185
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122176
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
228792
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
2713
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
19478
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23770
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
44357
527.1 IPS |
|
|
Face Detection (Q)
|
100% |
63180
750.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9049
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106335
819.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
174553
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
31654
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228035
293.1 IPS |
|
|
Style Transfer (Q)
|
96% |
315542
407.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7054
260.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47817
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76386
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3158
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5303
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5400
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6619
114.0 IPS |
|
|
Machine Translation (HP)
|
100% |
15905
274.0 IPS |
|
|
Machine Translation (Q)
|
98% |
15577
269.2 IPS |
