MacBook Pro (16-inch, 2024)
Geekbench AI Score
20713
Single Precision Score
22922
Half Precision Score
7056
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | markbyrn |
| Upload Date | February 23 2025 03:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9076
1.69 KIPS |
|
|
Image Classification (HP)
|
100% |
9610
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
7946
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20113
326.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20964
339.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18195
294.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
79441
92.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
82948
96.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
77238
90.4 IPS |
|
|
Object Detection (SP)
|
100% |
8596
681.8 IPS |
|
|
Object Detection (HP)
|
100% |
9098
721.7 IPS |
|
|
Object Detection (Q)
|
92% |
7765
619.8 IPS |
|
|
Face Detection (SP)
|
100% |
33788
401.5 IPS |
|
|
Face Detection (HP)
|
100% |
34829
413.8 IPS |
|
|
Face Detection (Q)
|
100% |
26711
317.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
43341
333.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45561
351.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
290.5 IPS |
|
|
Style Transfer (SP)
|
100% |
188386
242.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206649
265.7 IPS |
|
|
Style Transfer (Q)
|
96% |
193272
249.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26282
970.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27527
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22544
832.4 IPS |
|
|
Text Classification (SP)
|
100% |
2865
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5204
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5616
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5620
96.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5827
100.7 IPS |
