MacBook Pro (14-inch, 2024)
Geekbench AI Score
5782
Single Precision Score
37038
Half Precision Score
49261
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Nahkriinsoul |
| Upload Date | January 08 2025 02:26 PM |
| Views | 27 |
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% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
17822
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
22581
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2514
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23197
376.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32165
521.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18916
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123213
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229311
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
20905
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
24738
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4574
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
43426
516.0 IPS |
|
|
Face Detection (Q)
|
100% |
63548
755.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8866
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111455
858.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
163034
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
35136
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238939
307.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304881
393.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7042
260.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47120
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79328
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4963
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4901
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5797
99.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16873
290.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16632
287.4 IPS |
