MacBook Pro (16-inch, 2024)
Geekbench AI Score
6016
Single Precision Score
38547
Half Precision Score
52783
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 20 2026 12:24 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2195
408.3 IPS |
|
|
Image Classification (HP)
|
100% |
19234
3.58 KIPS |
|
|
Image Classification (Q)
|
97% |
24051
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23466
380.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33021
535.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18350
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123438
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231975
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2709
214.9 IPS |
|
|
Object Detection (HP)
|
100% |
21467
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
27022
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
5335
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
45521
540.9 IPS |
|
|
Face Detection (Q)
|
100% |
65644
780.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9025
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
108507
836.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
184097
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
31694
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235047
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
325721
420.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7081
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51499
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84522
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5712
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5655
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
6651
114.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17735
305.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17924
309.8 IPS |
