MacBook Pro (16-inch, 2024)
Geekbench AI Score
5821
Single Precision Score
36224
Half Precision Score
48716
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | darrotta |
| Upload Date | July 30 2025 05:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2164
402.4 IPS |
|
|
Image Classification (HP)
|
100% |
16882
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
20697
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22991
372.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32406
525.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17845
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122127
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
227340
266.5 IPS |
|
|
Object Detection (SP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (HP)
|
100% |
19418
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23086
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
4932
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
43038
511.4 IPS |
|
|
Face Detection (Q)
|
100% |
62141
738.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8823
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109216
841.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166164
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
30965
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231753
297.9 IPS |
|
|
Style Transfer (Q)
|
96% |
320733
413.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7111
262.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46486
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75140
2.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5345
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6343
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15618
269.0 IPS |
|
|
Machine Translation (Q)
|
98% |
15820
273.4 IPS |
