MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4461
Single Precision Score
31118
Half Precision Score
34140
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | aiaerospacex |
| Upload Date | November 04 2025 09:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
16275
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
17274
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22073
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26677
432.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16693
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
119054
138.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
117625
137.9 IPS |
|
|
Object Detection (SP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (HP)
|
100% |
17751
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
16992
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3958
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
38505
457.5 IPS |
|
|
Face Detection (Q)
|
100% |
49758
591.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100855
777.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
126198
986.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30198
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
219774
282.5 IPS |
|
|
Style Transfer (Q)
|
96% |
209912
270.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37802
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50437
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2806
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4799
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4782
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7244
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7346
127.0 IPS |
