MacBook Pro (16-inch, 2024)
Geekbench AI Score
5576
Single Precision Score
35997
Half Precision Score
48480
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 15 2025 09:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (HP)
|
100% |
17649
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
21348
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22649
367.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31150
505.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17970
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122421
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228326
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
17575
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
23573
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
44886
533.3 IPS |
|
|
Face Detection (Q)
|
100% |
63342
752.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8840
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104979
808.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160730
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
26043
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
229166
294.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296589
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45282
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77214
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5374
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5312
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6071
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16166
278.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16179
279.6 IPS |
