MacBook Pro (16-inch, 2021)
Geekbench AI Score
3663
Single Precision Score
16485
Half Precision Score
16366
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 01:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
6802
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6566
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9767
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10450
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11110
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70742
82.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65704
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
7978
634.7 IPS |
|
|
Object Detection (Q)
|
91% |
7506
599.7 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
16364
194.4 IPS |
|
|
Face Detection (Q)
|
100% |
15203
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5854
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51626
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
53586
418.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21911
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121805
156.6 IPS |
|
|
Style Transfer (Q)
|
96% |
116904
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4365
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25757
951.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27872
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3963
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3873
66.9 IPS |
