MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4170
Single Precision Score
28987
Half Precision Score
32132
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 12:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
17758
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
20472
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16326
264.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18829
305.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8593
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122700
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
121096
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1863
147.8 IPS |
|
|
Object Detection (HP)
|
100% |
18822
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
21059
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39116
464.8 IPS |
|
|
Face Detection (Q)
|
100% |
50991
605.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7278
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98685
760.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
124661
974.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22571
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229956
295.6 IPS |
|
|
Style Transfer (Q)
|
96% |
221662
286.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5288
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48884
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59289
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5148
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2788
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2776
48.0 IPS |
