MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4143
Single Precision Score
25054
Half Precision Score
28197
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Estudio-Iron |
| Upload Date | August 18 2024 04:28 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
15831
2.94 KIPS |
|
|
Image Classification (Q)
|
99% |
19430
3.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13910
225.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
13872
224.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8661
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
115363
134.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
117649
138.0 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
16486
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
20185
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
25528
303.3 IPS |
|
|
Face Detection (Q)
|
100% |
40649
483.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7182
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
82631
636.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
92801
717.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22463
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
169079
217.4 IPS |
|
|
Style Transfer (Q)
|
100% |
167502
215.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47066
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55923
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5063
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5083
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2764
47.8 IPS |
