MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2557
Single Precision Score
18464
Half Precision Score
19792
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MrTom |
| Upload Date | October 23 2024 03:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
960
178.5 IPS |
|
|
Image Classification (HP)
|
100% |
11124
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
12417
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11127
180.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13005
210.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5223
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
76056
88.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
75994
89.1 IPS |
|
|
Object Detection (SP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (HP)
|
100% |
13951
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
12458
995.4 IPS |
|
|
Face Detection (SP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
22897
272.1 IPS |
|
|
Face Detection (Q)
|
100% |
27977
332.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4338
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58111
447.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
73259
572.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13464
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
146347
188.1 IPS |
|
|
Style Transfer (Q)
|
96% |
143283
184.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3267
120.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30982
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35546
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
1863
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3211
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1800
31.1 IPS |
