MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4175
Single Precision Score
7042
Half Precision Score
5709
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 02:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1602
298.0 IPS |
|
|
Image Classification (HP)
|
100% |
2965
551.3 IPS |
|
|
Image Classification (Q)
|
96% |
2092
390.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8628
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17307
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15107
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1864
147.8 IPS |
|
|
Object Detection (HP)
|
97% |
3298
262.6 IPS |
|
|
Object Detection (Q)
|
94% |
2403
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6840
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
4041
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7282
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13734
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9532
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22686
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34247
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28668
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5235
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5072
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5879
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5823
100.6 IPS |
