MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4177
Single Precision Score
28805
Half Precision Score
31854
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 02:53 AM |
| Views | 4 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1594
296.4 IPS |
|
|
Image Classification (HP)
|
100% |
17579
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
20023
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16315
264.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18874
306.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8682
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
121960
142.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
121155
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1864
147.9 IPS |
|
|
Object Detection (HP)
|
100% |
18470
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20722
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
39265
466.6 IPS |
|
|
Face Detection (Q)
|
100% |
50864
604.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7283
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98604
759.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
124496
973.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22681
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
230023
295.7 IPS |
|
|
Style Transfer (Q)
|
96% |
219763
283.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47843
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57301
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5105
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5120
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2777
48.0 IPS |
