MacBook Pro (16-inch, 2021)
Geekbench AI Score
2991
Single Precision Score
4647
Half Precision Score
4032
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 12:41 AM |
| Views | 2 |
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 (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.02 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1159
215.5 IPS |
|
|
Image Classification (HP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (Q)
|
96% |
1250
233.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2333
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8389
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15573
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13544
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.4 IPS |
|
|
Object Detection (HP)
|
97% |
2111
168.1 IPS |
|
|
Object Detection (Q)
|
94% |
1532
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2293
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
3901
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2517
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4424
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8593
66.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6600
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18349
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25038
32.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22968
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3444
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5041
186.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3294
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2602
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4426
76.5 IPS |
