MacBook Pro (16-inch, 2021)
Geekbench AI Score
1850
Single Precision Score
12784
Half Precision Score
10435
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
976
181.4 IPS |
|
|
Image Classification (HP)
|
100% |
7383
1.37 KIPS |
|
|
Image Classification (Q)
|
96% |
6672
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3878
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
445
7.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
9521
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69718
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66934
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
970
76.9 IPS |
|
|
Object Detection (HP)
|
99% |
7562
601.5 IPS |
|
|
Object Detection (Q)
|
93% |
7305
582.9 IPS |
|
|
Face Detection (SP)
|
100% |
1885
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
11075
131.6 IPS |
|
|
Face Detection (Q)
|
100% |
10246
121.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3457
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46619
359.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
55469
433.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12264
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
118083
151.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115564
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2189
80.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18866
696.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23977
885.4 IPS |
|
|
Text Classification (SP)
|
100% |
345
460.1 IPS |
|
|
Text Classification (HP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (Q)
|
93% |
3483
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1923
33.2 IPS |
