MacBook Pro (16-inch, 2021)
Geekbench AI Score
3748
Single Precision Score
14027
Half Precision Score
14395
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 06:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
7150
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
7517
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5922
96.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5943
96.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10833
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
69380
81.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64649
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
7547
600.4 IPS |
|
|
Object Detection (Q)
|
91% |
7580
605.6 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
12205
145.0 IPS |
|
|
Face Detection (Q)
|
100% |
13709
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5879
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46090
355.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
49350
381.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22440
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117208
150.7 IPS |
|
|
Style Transfer (Q)
|
100% |
122373
157.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4285
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26482
977.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28168
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1914
33.1 IPS |
