MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4379
Single Precision Score
7407
Half Precision Score
6358
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 03:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1500
278.9 IPS |
|
|
Image Classification (HP)
|
100% |
2420
450.1 IPS |
|
|
Image Classification (Q)
|
99% |
2414
450.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2795
45.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2742
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16773
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27625
32.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
21185
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
97% |
2931
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2197
175.1 IPS |
|
|
Face Detection (SP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6575
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3958
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7378
56.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13119
101.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13092
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30291
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43384
55.8 IPS |
|
|
Style Transfer (Q)
|
100% |
42432
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7616
281.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5026
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4647
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4602
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6855
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6894
119.1 IPS |
