MacBook Pro (14-inch, 2024)
Geekbench AI Score
5765
Single Precision Score
36878
Half Precision Score
50115
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 03:21 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
17421
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
21843
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23238
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32200
522.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18897
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123256
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231016
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
20131
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24745
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
45371
539.1 IPS |
|
|
Face Detection (Q)
|
100% |
66488
790.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8761
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111315
857.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177717
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35212
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238376
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302090
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46363
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78964
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5153
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5126
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5777
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16106
277.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17204
297.3 IPS |
