MacBook Pro (16-inch, 2024)
Geekbench AI Score
5514
Single Precision Score
37487
Half Precision Score
51177
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | nikhilr |
| Upload Date | August 15 2025 04:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
17371
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
23381
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22565
365.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31805
515.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17712
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123198
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
227658
266.8 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
20196
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
25864
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4765
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
44566
529.5 IPS |
|
|
Face Detection (Q)
|
100% |
65338
776.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110159
848.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
179619
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25992
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232649
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296381
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46541
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77958
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6202
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6187
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6031
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17048
293.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16779
290.0 IPS |
