MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2558
Single Precision Score
4291
Half Precision Score
3434
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MrTom |
| Upload Date | October 23 2024 03:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
958
178.1 IPS |
|
|
Image Classification (HP)
|
100% |
1760
327.3 IPS |
|
|
Image Classification (Q)
|
96% |
1199
224.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1954
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5241
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
10418
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8965
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1124
89.1 IPS |
|
|
Object Detection (HP)
|
97% |
1959
156.0 IPS |
|
|
Object Detection (Q)
|
94% |
1391
110.8 IPS |
|
|
Face Detection (SP)
|
100% |
2236
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2325
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4369
33.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8207
63.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
5612
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13325
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20487
26.3 IPS |
|
|
Style Transfer (Q)
|
96% |
16844
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3291
121.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2639
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3220
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4112
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4184
72.3 IPS |
