MacBook Pro (14-inch, 2021)
Geekbench AI Score
3774
Single Precision Score
5770
Half Precision Score
4754
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gshaw1967 |
| Upload Date | November 22 2024 12:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11088
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22341
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17337
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2346
186.8 IPS |
|
|
Object Detection (Q)
|
94% |
1750
139.5 IPS |
|
|
Face Detection (SP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
5488
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3220
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11044
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7456
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22457
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35444
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27440
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4026
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3877
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3250
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4804
83.0 IPS |
