MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
18299
Single Precision Score
20441
Half Precision Score
18053
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pixelcort |
| Upload Date | November 28 2024 10:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8041
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8398
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7244
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16769
271.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17296
280.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17947
290.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
93148
108.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95492
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89365
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
7788
617.8 IPS |
|
|
Object Detection (HP)
|
100% |
8425
668.3 IPS |
|
|
Object Detection (Q)
|
91% |
7225
577.3 IPS |
|
|
Face Detection (SP)
|
100% |
32026
380.5 IPS |
|
|
Face Detection (HP)
|
100% |
35946
427.1 IPS |
|
|
Face Detection (Q)
|
100% |
27380
325.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38305
295.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40938
315.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
34026
265.9 IPS |
|
|
Style Transfer (SP)
|
100% |
187125
240.6 IPS |
|
|
Style Transfer (HP)
|
100% |
206763
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
190815
246.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24574
907.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26095
963.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21659
799.8 IPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4677
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4648
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2936
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2448
42.3 IPS |
