MacBook Pro (16-inch, 2024)
Geekbench AI Score
5746
Single Precision Score
36988
Half Precision Score
49338
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | deleavell |
| Upload Date | December 07 2024 05:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
17625
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22646
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23156
375.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32054
519.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18830
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
124271
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231035
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
19852
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24099
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
44666
530.7 IPS |
|
|
Face Detection (Q)
|
100% |
56822
675.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8780
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112397
866.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
179697
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35527
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237698
305.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302049
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7034
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46523
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79272
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5181
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5318
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5724
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16554
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16267
281.1 IPS |
