MacBook Pro (16-inch, 2024)
Geekbench AI Score
5747
Single Precision Score
37463
Half Precision Score
50145
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | machinecoach |
| Upload Date | December 09 2024 08:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
18966
3.53 KIPS |
|
|
Image Classification (Q)
|
97% |
22753
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23311
377.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32970
534.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18774
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123157
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230257
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
20005
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24191
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
40048
475.9 IPS |
|
|
Face Detection (Q)
|
100% |
54166
643.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8765
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106131
817.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
178626
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35240
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235612
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300454
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7033
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46915
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80378
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6120
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6040
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5716
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17390
299.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17048
294.6 IPS |
