MacBook Pro (16-inch, 2024)
Geekbench AI Score
6033
Single Precision Score
37190
Half Precision Score
50509
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | congrio |
| Upload Date | August 13 2025 05:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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% |
2187
406.6 IPS |
|
|
Image Classification (HP)
|
100% |
17445
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22299
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23182
375.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32318
523.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18412
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122896
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231990
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
19699
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
24055
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5306
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
44768
531.9 IPS |
|
|
Face Detection (Q)
|
100% |
63881
759.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9024
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
109480
843.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
181365
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
31342
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233597
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
323410
417.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7212
266.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49307
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78382
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6669
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16299
280.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16341
282.4 IPS |
