MacBook Pro (14-inch, 2024)
Geekbench AI Score
5732
Single Precision Score
37111
Half Precision Score
49595
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Nahkriinsoul |
| Upload Date | December 26 2024 06:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
17764
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22709
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23209
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32064
519.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18899
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123183
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230213
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
20482
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24434
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4468
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
43201
513.3 IPS |
|
|
Face Detection (Q)
|
100% |
58399
693.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8672
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110606
852.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177663
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35171
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238054
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297545
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6999
258.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46899
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81085
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5423
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5254
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5703
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16467
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16713
288.8 IPS |
