MacBook Pro (16-inch, 2024)
Geekbench AI Score
5943
Single Precision Score
37241
Half Precision Score
50385
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ksog |
| Upload Date | September 22 2025 10:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2171
403.6 IPS |
|
|
Image Classification (HP)
|
100% |
17920
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
21490
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23427
379.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32200
522.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18292
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123040
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231180
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2671
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
19511
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24874
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
5154
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
44096
524.0 IPS |
|
|
Face Detection (Q)
|
100% |
63064
749.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110481
851.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177806
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
31593
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
231060
297.0 IPS |
|
|
Style Transfer (Q)
|
96% |
320017
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7201
265.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47916
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78898
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5752
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6503
112.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16411
282.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16676
288.2 IPS |
