MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3906
Single Precision Score
5482
Half Precision Score
4473
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ChrisMunson |
| Upload Date | August 19 2024 08:50 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.83 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (HP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (Q)
|
99% |
2014
375.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1416
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8560
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
16996
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14518
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
2554
203.3 IPS |
|
|
Object Detection (Q)
|
94% |
1957
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
3437
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3292
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6695
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9645
74.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4228
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19947
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30189
38.8 IPS |
|
|
Style Transfer (Q)
|
100% |
30054
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5515
203.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4111
152.3 IPS |
|
|
Text Classification (SP)
|
100% |
2798
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5031
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4731
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4825
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4864
84.1 IPS |
