MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4179
Single Precision Score
30743
Half Precision Score
34453
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 09:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
17416
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20611
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20910
339.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26234
425.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8801
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122321
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
122074
143.1 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
18527
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20773
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
37676
447.7 IPS |
|
|
Face Detection (Q)
|
100% |
45630
542.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7301
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98749
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
124425
972.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22533
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
228319
293.5 IPS |
|
|
Style Transfer (Q)
|
96% |
221518
285.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47882
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57781
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5140
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5112
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4627
80.0 IPS |
