MacBook Pro (16-inch, 2021)
Geekbench AI Score
11489
Single Precision Score
12934
Half Precision Score
12124
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | victoriggy |
| Upload Date | February 14 2026 11:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3842
714.5 IPS |
|
|
Image Classification (HP)
|
100% |
3840
714.1 IPS |
|
|
Image Classification (Q)
|
94% |
3693
690.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11025
178.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10980
178.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10410
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
52747
61.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59370
69.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
55746
65.3 IPS |
|
|
Object Detection (SP)
|
100% |
4194
332.7 IPS |
|
|
Object Detection (HP)
|
100% |
4283
339.7 IPS |
|
|
Object Detection (Q)
|
91% |
3998
319.5 IPS |
|
|
Face Detection (SP)
|
100% |
19858
236.0 IPS |
|
|
Face Detection (HP)
|
100% |
20860
247.9 IPS |
|
|
Face Detection (Q)
|
100% |
19014
225.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
24031
185.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25728
198.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
23612
184.6 IPS |
|
|
Style Transfer (SP)
|
100% |
89966
115.7 IPS |
|
|
Style Transfer (HP)
|
100% |
112412
144.5 IPS |
|
|
Style Transfer (Q)
|
96% |
111073
143.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13396
494.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14458
533.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13381
494.1 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4097
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4073
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2949
51.0 IPS |
