MacBook Pro (16-inch, 2021)
Geekbench AI Score
3710
Single Precision Score
14802
Half Precision Score
14476
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | sietec |
| Upload Date | July 08 2025 01:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
6088
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5917
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8873
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9230
149.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10864
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69911
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
63939
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
99% |
7100
564.8 IPS |
|
|
Object Detection (Q)
|
91% |
6572
525.1 IPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
13277
157.8 IPS |
|
|
Face Detection (Q)
|
100% |
12547
149.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5782
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47078
362.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49010
383.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22590
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118807
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
112069
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25335
935.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25716
949.6 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3808
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2610
45.1 IPS |
